Publications

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G
Dalmau, V., Generalized Majority-Minority Operations are Tractable, Logical Methods in Computer Science, vol. 2, 2006.
Dalmau, V., Generalized Majority-Minority Operations are Tractable, LICS, 2005, pp. 438-447.
Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Generalized Planning With Procedural Domain Control Knowledge, Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16), 2016.
Dalmau, V., and Ford, D. K., Generalized Satisfability with Limited Occurrences per Variable: A Study through Delta-Matroid Parity, MFCS, 2003, pp. 358-367.
Albore, A., and Bertoli, P., Generating Safe Assumption-Based Plans for Partially Observable, Nondeterministic Domains, Proceedings of the National Conference on Artificial Intelligence (AAAI), Palo Alto, USA: AAAI Press, 2004, pp. 495–500.
Ramírez, M., and Geffner, H., Goal recognition over POMDPs: Inferring the intention of a POMDP agent, Proceedings of the Twenty-Second international joint conference on Artificial Intelligence-Volume Volume Three, AAAI Press, 2011, pp. 2009–2014.
H
Gimenez, O., and Jonsson, A., On the Hardness of Planning Problems With Simple Causal Graphs, Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS'07), 2007, pp. 152-159.
Kolobov, A., Mausam, M., Weld, D. S., and Geffner, H., Heuristic search for generalized stochastic shortest path MDPs, Twenty-First International Conference on Automated Planning and Scheduling, 2011.
Keyder, E., and Geffner, H., Heuristics for Planning with Action Costs Revisited, Proc. of European Conf. on Artificial Intelligence (ECAI-08), 2008, pp. 588–592.
Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Hierarchical Finite State Controllers for Generalized Planning, Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
Jonsson, A., and Gómez, V., Hierarchical Linearly-Solvable Markov Decision Problems, Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16), 2016.
Ognibene, D., Wu, Y., Lee, K., and Demiris, Y., Hierarchies for embodied action perception, Computational and Robotic Models of the Hierarchical Organization of Behavior, Springer, 2013, p. Chapter–5.
Ognibene, D., Pezzulo, G., and Baldassare, G., How Are Representations Affected by Scene Statistics in an Adaptive Active Vision System?, Epirob 2009, 2009.
Ognibene, D., Pezzulo, G., and Baldassarre, G., How can bottom-up information shape learning of top-down attention-control skills?, Development and Learning (ICDL), 2010 IEEE 9th International Conference on, IEEE, 2010, pp. 231–237.
Mavridis, N., Bourlai, T., and Ognibene, D., The Human-Robot Cloud: Situated collective intelligence on demand, Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on, IEEE, 2012, pp. 360–365.
I
Neu, G., and Bartók, G., Importance weighting without importance weights: An efficient algorithm for combinatorial semi-bandits, Journal of Machine Learning Research, vol. 17, 2016, pp. 1-21.
Francès, G., Bai, X., B Cambazoglu, B., and Baeza-Yates, R., Improving the efficiency of multi-site web search engines, Proceedings of the 7th ACM international conference on Web search and data mining, ACM, 2014, pp. 3–12.
Gimenez, O., and Jonsson, A., In Search of the Tractability Boundary of Planning Problems, Proceedings of the 18th International Conference on Automated Planning and Scheduling (ICAPS'08), 2008, pp. 99-106.

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